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within a Research Infrastructure? No Offer Description We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods
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We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis
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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience
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integrate aeroacoustic methods for emerging propulsion technologies, new airframe-propulsion configurations and operational scenarios contributing to decarbonisation. The work will also involve conducting
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quantitative and qualitative methods, including experiments, longitudinal surveys, and interviews to explore the role of emotions in political preferences and policy dynamics Analyse research findings and
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methods that combine historical climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project
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also include planning for the dissemination and implementation of the tool. There will be opportunities to contribute to other elements of the research programme subject to capacity and competencies
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’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical climate data, simple physics-based models, and AI to deliver more accurate projections of how our
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Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a